What problem does it solve?
Turning a research paper into reusable glossary notes requires manually identifying key terms, writing definitions, and linking them back into article Markdown, which is repetitive and error-prone. This Skill automates that pipeline while enforcing a human review step before any note or article is modified.
Core Features & Use Cases
- Deterministic Term Proposal: Extracts candidate terms with ordered surface forms from
*_source_manifest.json and optional *_raw_sections.jsonl, bounded by a dynamic shortlist limit.
- Review-Gated Writes: Requires a recorded semantic review and explicit user selection before triage, inventory, writing, or linking can proceed; every stage validates SHA-256 provenance chains.
- Non-Destructive Note Management: Creates new glossary notes, enriches thin notes with only missing fields, and never overwrites existing content; optionally inserts first-safe-occurrence wiki links into an article.
- Use Case: After reading a paper with DeepPaperNote, run this Skill to build a shared Obsidian glossary of terms like "MoE", review the shortlist, select terms, and have notes created and linked in your vault automatically.
Quick Start
Ask the agent to build glossary notes from your paper's source manifest, review the numbered shortlist it presents, and reply with the numbers of the terms you want written to your Obsidian vault.